KodeKloud Courses

Crash Course: AI-Powered DevOps

Plug AI directly into infrastructure, documents, and cloud APIs through high-stakes scenarios that compress hours of manual DevOps work into minutes.

• KodeKloud
• Self-Paced
• Paid Course

KAgent: Host Your AI Agents on Kubernetes

Install, deploy, and manage AI agents on Kubernetes with KAgent, orchestrating agentic workloads at scale from first installation through practical applications.

• KodeKloud
• Self-Paced
• Paid Course

AIOps Foundations - Intelligent Monitoring With Prometheus & Grafana

Move beyond static threshold alerts: deploy Prometheus and Grafana, collect metrics, write PromQL queries, and add AI-powered anomaly detection and forecasting with Python ML libraries.

• KodeKloud
• Self-Paced
• Paid Course

AIOps in Practice - Logging and Alerting at Scale

Build a logging and alerting system at scale: deploy, manage, and use a modern observability stack with industry-standard open-source tools.

• KodeKloud
• Self-Paced
• Paid Course

Automated Remediation With Python for AIOps

Build self-healing infrastructure: receive Prometheus Alertmanager alerts via webhooks in Python, auto-restart failed Docker containers with the Docker SDK, and run ChatOps notifications in Slack.

• KodeKloud
• Self-Paced
• Paid Course

Applied ML for AIOps - Anamoly Detection and Forecasting

Turn raw operational data into actionable intelligence: apply machine learning to metrics, detect anomalies in logs, and forecast system behavior end to end.

• KodeKloud
• Self-Paced
• Paid Course

Build, Track, and Orchestrate AI Models with MLFlow & Kubeflow

Turn exploratory notebooks into production MLOps: track experiments with MLflow and MinIO, deploy inference services on Kubernetes, and automate train → register → validate → deploy Kubeflow pipelines.

• KodeKloud
• Self-Paced
• Paid Course

Advanced AIOps - Distributed Tracing & Rooting

Troubleshoot sprawling microservice ecosystems with confidence: apply distributed tracing and root cause analysis to pinpoint failures across complex distributed systems.

• KodeKloud
• Self-Paced
• Paid Course

AI Assisted Ansible

Generate, validate, and debug Ansible playbooks faster using AI assistants such as ChatGPT, GitHub Copilot, Claude Code, and Red Hat Ansible Lightspeed.

• KodeKloud
• Self-Paced
• Paid Course

Programming Fundamentals

Kickstart your programming journey with interactive, hands-on labs! course by KodeKloud. Learn with our interactive labs and personalized guidance that prepares you for real jobs complete with labs, quizzes, and mock exams.

• KodeKloud
• Self-Paced
• Paid Course

Data Engineering Fundamentals

Learn how raw data becomes insight: explore the foundations of modern data pipelines, from capturing source data like fitness tracker readings to transforming it for decision-makers.

• KodeKloud
• Self-Paced
• Paid Course

Ultimate Certified Kubernetes Security Specialist (CKS) Mock Exam Series

Practice for the Certified Kubernetes Security Specialist (CKS) exam through hands-on mock exams that drill Kubernetes cluster security tasks under exam conditions.

• KodeKloud
• Self-Paced
• Paid Course

Cloud Computing Fundamentals

Learn how cloud computing lets services like Netflix and Instagram scale to billions of users and startups launch apps overnight without owning physical servers.

• KodeKloud
• Self-Paced
• Paid Course

Prep Course - OpenTelemetry Certified Associate (OTCA)

Prepare for the OpenTelemetry Certified Associate (OTCA) exam by learning to make applications distributed across clouds, containers, and services observable, reliable, and performant.

• KodeKloud
• Self-Paced
• Paid Course

Google Cloud Professional Data Engineer Certification

Prepare for the Google Cloud Professional Data Engineer certification by designing, building, and managing data solutions on Google Cloud Platform through hands-on practice.

• KodeKloud
• Self-Paced
• Paid Course